DocumentCode
135382
Title
High-power high-frequency converter modelling using Dommel´s and Runge-Kutta methods in ABC and DQ frame
Author
Wei-Xing Lin ; Jovcic, Dragan
Author_Institution
Sch. of Eng., Univ. of Aberdeen, Aberdeen, UK
fYear
2014
fDate
27-31 July 2014
Firstpage
1
Lastpage
5
Abstract
As the future DC grids will involve numerous converter systems, the accuracy and speed of their modeling becomes of high importance. This paper develops and compares four average models for high frequency converters like DC/DC or DC hubs: the average model in the ABC frame using Dommel´s method (Model 1), the average model in the dq frame using Dommel´s method (Model 2), the average model in the ABC frame using Runge-Kutta method (Model 3) and the average model in the dq frame using Runge-Kutta method (Model 4). Schematics and principles of the numerical algorithms for the four models are presented. Detailed switching model of a 500MW, 2kHz, ±200kV /±400kV DC/DC converter is taken as benchmark for comparing the four average models. It is found that Model 2 is numerically unstable. Model 1 and Model3 need the same small solution time step as the detailed switching model to give accurate results. Model 4 is the recommended average model for high frequency (1-3kHz) converter. It gives accurate result as the detailed switching model at the benefit of 100 times faster simulation speed.
Keywords
DC-DC power convertors; Runge-Kutta methods; frequency convertors; ABC frame; DC-DC converter; DQ frame; Dommel´s method; Runge-Kutta method; average model; frequency 2 kHz; high-power high-frequency converter modelling; numerical algorithms; power 500 MW; switching model; Accuracy; Frequency conversion; Integrated circuit modeling; Mathematical model; Numerical models; PSCAD; Switches; Converter modeling; DC Power Systems; DC power transmission; DC-DC power conversion; High Frequency Components; Numerical simulation methods;
fLanguage
English
Publisher
ieee
Conference_Titel
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location
National Harbor, MD
Type
conf
DOI
10.1109/PESGM.2014.6939328
Filename
6939328
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